当归根际土壤古细菌多样性及其驱动因子

Diversity and Driving Factor of Archaea in Rhizospheric Soil of Angelica Sinensis

  • 摘要: 当归(Angelica sinensis)作为我国大宗中药材及甘肃省重要的道地药材,其根际微生物对生长发育的影响机制尚待深入解析。本研究以当归根际土壤古细菌菌群为对象,基于Illumina Miseq高通量测序技术,系统分析了叶丛期、根膨大期和成药期三个关键生育期的菌群多样性及组成特征,结合土壤理化性质、养分含量及酶活性测定,探讨了土壤因子与古细菌菌群的互作关系。结果表明:当归根际土壤古细菌α多样性呈现“单峰型的趋势”动态变化(叶丛期至根膨大期上升,成药期显著降低),β多样性则随生育期的推进发生显著分异(p<0.001);泉古菌门(Crenarchaeota)为绝对优势菌门(相对丰度>90%),亚硝化暖菌属(norank_f__Nitrososphacraccac)为核心优势菌属,二者均对生育期的转变表现出显著响应(p<0.05);冗余分析(RDA)显示,土壤电导率、土壤有效磷、土壤蔗糖酶、土壤酸性和碱性磷酸酶是驱动古细菌群落结果变化的关键因子,其中土壤酶活性对菌群变化的解释度达60.68%。本研究首次揭示了当归根际古细菌群落的动态演替规律及其与土壤微环境的耦合机制,为利用古细菌调控当归品质形成提供了理论支撑和实践依据。

     

    Abstract: Angelica sinensisA. sinensis) is a major traditional Chinese medicinal herb, particularly renowned in Gansu Province, the mechanism underlying the influence of rhizosphere microbiota on the growth and development of A. sinensis remains to be thoroughly elucidated. This study investigated the archaeal community in the rhizosphere soil of A. sinensis during three critical growth stages-leaf cluster stage, root expansion stage, and medicinal formation stage-using Illumina Miseq high throughput sequencing technology. By integrating soil physicochemical properties, nutrient, and enzyme activity measurements, the interactions between soil factors and archaeal communities were explored. The results revealed: the α-diversity of rhizosphere archaeal communities exhibited a “single-peak trend” (increasing from leaf cluster stage to the root expansion stage, then significantly decreasing at the medicinal formation stage), while β-diversity showed significantly divergence across growth stages (p<0.001); the phylum Crenarchaeota (relative abundance>90%) dominated the archaeal community, with the genus norank_f__Nitrososphacraccac as the core functional group. Both exhibited significant responses to growth stage transitions (p<0.05); Redundancy analysis (RDA) identified soil electrical conductivity, available phosphorus, sucrose enzyme activity, acid phosphatase, and alkaline phosphatase as key drivers of archaeal community dynamics. Notably, soil enzyme activity explained 60.68% of the variation in archaeal community structure. This study first reveals the dynamic succession patterns of archaeal communities in the rhizosphere soil of A. sinensis and their coupling mechanisms with soil microenvironments. These findings provide theoretical insights for leveraging archaeal microbiota to optimize A. sinensis quality and cultivation strategies.

     

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